Exact(1)
In engineered biomaterials, signaling molecules can be presented in a manner that more closely mimics cell cell and cell matrix interactions, and matrices can be fabricated with diverse rigidities that approximate in vivo tissues.
Similar(59)
The spherical inclusion and matrix can be made from auxetic materials.
Experiment results demonstrated that the correlation and covariance matrices can be calculated and updated in a causal manner, so the real-time processing requirement was met [10].
We propose that these robust and stable matrices can be conveniently and routinely used in the tissue culture laboratory to study the behaviour of cells grown in three-dimensions.
Mass and stiffness matrices can be represented systematically by overallgeometry and material characteristics.
The template and intensity matrices can be adaptively learned from the current input frame and some previous input frames.
We show that the signal and noise matrices can be better separated when the number of blockrows and number of block-columns of the corresponding block Hankel matrix are chosen to be close to each other.
The other transmit and receive matrices can be described similarly.
The control and observer matrices can be solved directly by using the existing LMI optimization techniques.
According to the previous assumptions, the following correlation and pseudocorrelation matrices can be written as (3).
The time delay parameters, Doppler properties and correlation matrices can be extracted.
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